American Journal of Plant Biology. Performance of Brinjal (Solanum melongena) Genotypes through Genetic Variability Analysis

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1 Nishi NSB et al. American Journal of Plant Biology 2017, 3:22-30 Page 1 of 9 Research Article American Journal of Plant Biology Performance of Brinjal (Solanum melongena) Genotypes through Genetic Variability Analysis Most. Nur Shahi Begum 1, Bir Jahangir Shirazy 2 *, Md. Mostofa Mahbub 3, and Md. Ashaduzzaman Siddikee 4 1 Department of Genetics and Plant Breeding, Sher-e-Bangla Agriculture University, Dhaka, Bangladesh 2 Scientific Officer, Rice Farming Systems Division, Bangladesh Rice Research Institute (BRRI), Gazipur, Bangladesh 3 Scientific Officer, Agronomy Division, BRRI, Gazipur, Bangladesh 4 Associate Professor, Department of Genetics and Plant Breeding, Sher-e-Bangla Agriculture University, Dhaka, Bangladesh Abstract: The physiomorphological divergence was assessed in fifteen brinjal genotypes by using cluster mean analysis and mean difference to identify parental genotypes for future breeding program in order to develop new high yielding varieties in randomized complete block design with three replications. Plant height, days to first flowering, number of branch and number of fruits per plant have the highest percent of variations among the traits. The genotypes under the experiment were grouped into five clusters. The highest inter cluster distance was found between cluster III and IV followed by IV and V. According to relative contributions of the nine characters length of fruit and yield per plant have the prominent influence towards varietal improvement. Selecting genotypes from distant clusters probably provide promising recombinants and better segregants for future breeding platform. Keywords: Cluster; clusters mean; genotype; genetic variation Received: May 1, 2017 Accepted: May 25, 2017 Published: June 20, 2017 Competing Interests: The authors have declared that no competing interests exist. Copyright: 2017 BJ Shirazy. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. *Correspondence to: Bir Jahangir Shirazy, Scientific Officer, Rice Farming Systems Division, BRRI, Gazipur, Bangladesh bjshirazy@yahoo.com

2 Nishi NSB et al. American Journal of Plant Biology 2017, 3:22-30 Page 2 of 9 1. Introduction Eggplant (Solanum melongena L), is a member of the family Solanaceae. It is widely cultivated as vegetable in both temperate and tropical areas, especially in Asia. Brinjal (Solanum melongena) is one of the important vegetable crops grown in all parts of Bangladesh. It has a positive role in both summer and winter to fulfill the market demand of vegetables of Bangladesh. Yield potentiality of the varieties cultivated in Bangladesh is less and brinjal size, shape, skin colour varies in different locations. Improvement in fruit yield, colour, and insect resistances. The current nutritional condition of third world and some emerging countries like Bangladesh is a matter of great fear since the most of the public s are suffering from malnutrition [1-3]. Brinjal can show a significant role in this case and can aid to meet up the nutritional shortage difficulty. Considering the potentiality of this crop, there is a need for improvement and to develop varieties suited to specific agro-ecological conditions and also for specific end use. Due to low soil fertility and stress condition [4] yield of Brinjal is poor in Bangladesh. Genetic diversity is a major factor that determines prospects of yield improvement in future. Knowledge of genetic diversity within a crop and correlation among the yield contributing characters is essential for the long-term success of a breeding program and maximizes the exploration of germplasm resources [1]. Moreover, evaluation of genetic diversity is important to know the source of genes for a particular trait within the available germplasm. Multivariate analysis acts as a useful tool to quantify the degree of divergence between the biological populations at genotypic level and to assess the relative contribution of different components to the total divergence both inter and intra cluster levels [4,5]. The present study was undertaken to estimate the nature and magnitude of genetic diversity of brinjal and the feasibility of utilizing all those information for the varietal improvement of the brinjal. 2. Materials and Method The experiment was carried out to evaluate the genetic diversity, correlation and path coefficient analysis between fifteen brinjal genotypes (Table 1) during November, 2013 to April, 2014 at the research field of Sher-e-Bangla Agricultural University, located at N latitude, 90 33ˊ E longitude at an altitude of 8.6 m above sea level in Dhaka, Bangladesh. Fifteen brinjal genotypes were sown in randomized complete block design with three replications; every plot lied of a single row of 5m long with row to row space of 1m preserving 2 plants per meter. Data were collected from ten randomly selected plants. Statistical Analysis The data were analyzed by MSTAT program for ANOVA and analyzed by Mahalanobi s D2 statistics, principal component analysis, cluster mean analysis, principal coordinate analysis (PCA) and canonical variate analysis (CVA). Fifteen brinjal genotypes were grouped into cluster by using Genstat v 5.5 software. 3. Results and Discussion Performance of Different Traits Means regarding different plant traits and their comparison are given in Table 2. The present result revealed that height of plant was highly significant affected due to various brinjal genotypes. The plant

3 Nishi NSB et al. American Journal of Plant Biology 2017, 3:22-30 Page 3 of 9 height ranged from to cm. The line BD-2705 was found lowest plant height, whereas genotype Sada begun had highest plant height. BD-2750, BD-2704, Sada begun and BD-2724 showed the early flowering and Uttorahajari showed the late flowering. The number of branches is the most important yield component in soybean. The effective and fruit bearing branches play important role in enhancing the final yield. The number of branches varies from genotype to genotype depending upon genetic potential of a variety. In present study the number of branches was significantly affected by the various genotypes. The highest branches (8.00) were produced by Uttorahajari and BD-2662 followed by BD-2724 (6.67) and BD-2754 (6.33). Similarly BD-2796 and BD-2698 had shown very poor performance by showing only 2.67 and 3.33, branches per plant respectively. Highest fruit bearing genotype was BD Highest fruit diameter (20.03 cm) found in Sada begun. Fruit weight is an important yield parameter and is vary from genotype to genotype. BD-2724 genotype showed the highest fruit weight ( g). BD-2791 genotype has showed the maximum yield per plant. May be due to early flowering Uttorahajari have the highest insect infestation. Eigen Values The principle component analysis yielded four of the eigen values above unity accounted for 80.94% of the total variation and the last five principle accounted for near about 20% of the total variation (Table 3). Cluster Analysis The distribution pattern in table 4 indicated that the maximal number of genotypes (7) was comprised in cluster I followed by cluster II (4), cluster IV (2), cluster III (1) and cluster V (1). Mahbub et al., 2016 also grouped the soybean genotypes into different clusters and found different number of genotypes in different cluster. Figure 1 Diagram showing inter-cluster (outside the circle) and intra-cluster (inside the circle) distances of fifteen genotypes of brinjal There was much variation among the clusters compared to intra-cluster variations (Table 5 and Figure 1). The highest intra-cluster distance was observed in cluster II (22.82) and the lowest in cluster II (0.000). The inter-cluster distance was maximum between cluster III and IV (82.92) followed by cluster IV and V (82.62); cluster I and V (50.59) and cluster II and IV (49.99) suggesting that the genotypic materials

4 Nishi NSB et al. American Journal of Plant Biology 2017, 3:22-30 Page 4 of 9 belonging to these clusters may be used as parents for hybridization programme to develop desirable variety because crosses between genetically divergent lines will generate heterotic segregants [6,7]. From Table 6 it was observed that G6 and G14 have highest inter genotypic distance whereas G3 and G6 have the lowest distance. We know that heterosis can be best exploited and chances of getting transgressive segregants are maximum when generating diverse lines are crossed. Because the genotypes from diverge cluster may be advised for inclusion in hybridization program as they are expected to develop excellent segregants [4,8]. Table 1 Characterization of fifteen brinjal genotypes Genotype Name of the Growth Hairiness Fruit Fruit Spiny character No. genotypes Habit shape color G1 Bolaka green Erect Leaf, Stem Round Whitish green Fruit stock G2 BD-2698 Semi erect Leaf, Stem Ovate Whitish green Stem, Fruit stock G3 BD-2754 Semi erect Leaf, Stem Round Whitish green Stem, Fruit stock G4 BD-2705 Spreading Leaf, Stem Ovate Purplish green Stem, Fruit stock G5 BD-2775 Semi erect Leaf, Stem Round Purplish green Stem, Fruit stock G6 BD-2791 Spreading Leaf, Stem Ovate Whitish green Stem G7 BD-2796 Erect Leaf, Stem Round Whitish green Stem, Fruit stock G8 Uttora hajari Spreading Leaf, Stem Ovate Violet Fruit stock G9 BD-2750 Spreading Leaf, Stem Round Whitish green Stem, Sepal G10 BD-2662 Spreading Leaf, Stem Round Violet Fruit stock G11 Plastid black Semi erect Leaf, Stem Round violet Stem, Fruit stock beauty G12 BD-2704 Erect Leaf, Stem ovate purple Fruit stock G13 Sada begun Erect Leaf, Stem ovate White Stem G14 BD-2653 Erect Leaf, Stem long Whitish purple Fruit stock G15 BD-2724 Semi erect Leaf, Stem Round Whitish purple Fruit stock

5 Nishi NSB et al. American Journal of Plant Biology 2017, 3:22-30 Page 5 of 9 Table 2 Mean performance of nine characters of fifteen brinjal genotypes Genotypes Plant height Days of 1st flowering Number of branch Number of fruits per Diameter of the fruit (cm) Length of the fruit (cm) Weight per fruit (g) Yield per plant (kg) % insect infestation (cm) plant 1 Bolaka green a e 5.00cde cd c 7.90bc h 1.52 c b 2 BD ab de 3.33fg 17.67fg 18.70abc 8.03 b e 1.39 d 15.47ef 3 BD c cd 6.33bc i d 8.17 b d 0.95 g 24.73bc 4 BD f cd 3.33fg hi 17.67bc a c 1.17 e 23.80bc 5 BD a cd 4.33def def de 5.00ef f 1.39 d de 6 BD e cd 4.67def a 11.33ef 8.17 b h 2.78 a de 7 BD d c 2.67g 15.33gh 17.93abc 8.33 b h 0.94 g de 8 Uttorahajari c a 8.00 a 3.00 j 19.20ab 6.33cde b 0.31 i a 9 BD bc f 4.00efg 17.67efg 17.33bc 8.17 b h 1.11 f 25.73bc 10 BD d de 8.00 a b def 4.67 f j 0.56 h de 11 Plastid black beauty d e 5.00cde 15.67gh c 5.67 def d 1.40 d cd 12 BD bc f 4.33 def d f 7.17bcd g 1.50 c f 13 Sada begun a f 5.67bcd 27.67bc a 8.00bc i 1.10 f f 14 BD bc b 5.67bcd 16.67fg f a k 0.23 j 16.93ef 15 BD de f 6.67ab de d 7.67bc a 2.42 b de CV (%) LSD (0.05)

6 Nishi NSB et al. American Journal of Plant Biology 2017, 3:22-30 Page 6 of 9 Table 3 Eigen values and yield percent contribution of nine characters of fifteen brinjal genotypes Characters Eigen values Percent variation Cumulative % of percent variation Plant height (cm) Days of 1st flowering Number of branch Number of fruits per plant Diameter of the fruit (cm) Length of the fruit (cm) Weight per fruit (g) Yield per plant (kg) Table 4 Distribution of fifteen brinjal genotypes in five different clusters Cluster No. Number of populations Name of genotypes I 7 Bolaka green, BD-2698, BD-2775, BD-2796, BD-2750, Plastic Black Beauty, BD-2653 II 4 BD-2754, BD-2705,BD-2791, BD-2704 III 1 Uttorahajari IV 2 BD-2662, Sada begun V 1 BD-2724 Table 5 Intra (bold) and inter cluster distances (D 2 ) for 27 genotypes of brinjal I II III IV V I II III IV V

7 Nishi NSB et al. American Journal of Plant Biology 2017, 3:22-30 Page 7 of 9 Table 6 Inter-genotypic distance (D 2 ) of different genotypes Between genotypes Distance(D 2 ) Between genotypes Distance(D 2 ) G1-G G6-G G1-G G7-G G2-G G7-G G3-G G7-G G4-G G8-G G4-G G8-G G4-G G8-G G4-G G8-G G4-G G8-G G4-G G8-G G5-G G9-G G5-G G9-G G5-G G10-G G6-G G10-G G6-G G11-G G6-G G12-G G6-G G12-G G6-G G13-G G6-G G13-G G6-G G14-G Table 7 Cluster mean for 9 characters of 15 genotypes of eggplant Cla ss Plant height Branch per plant Fruits per plant Fruit diameter Length of fruit Days to first Yield per plant Fruit weight % insect infes-tation (cm) (no.) (no.) (cm) (cm) flower (kg) (g) I II III IV V Table 8 Relative contributions of the nine characters of fifteen genotypes to the total divergence Parameter Vector 1 Vector 2 Plant height (cm) Branch per plant Fruits per plant Fruit diameter (cm) Length of fruit (cm) Days to first flower Yield per plant (kg) Fruit weight (g) % insect infestation

8 Nishi NSB et al. American Journal of Plant Biology 2017, 3:22-30 Page 8 of 9 Cluster Means for the Characters Intra-cluster mean for nine physiological characters are present in Table 7. It was perceived that cluster III showed the maximum value for number of branches per plant, Fruit diameter and percent insect infes-tation. Yield per plant, Fruit weight have higher value in cluster V; Plant height in cluster I; Length of fruit in cluster II and Fruits per plant in cluster IV. Cluster V also suited for early flowering which is also very much desirable. Among these clusters, the cluster III and V showed the maximum desirable traits which could be reflected in the assortment of parents for future breeding program. The genotypic materials from these clusters could be used for breeding purpose in crop improvement project [5,9]. Contribution of Traits Towards Diversity The characters having greater contribution to the total divergence were given highest emphasis for grouping on the cluster for hybridization. Contribution of characters towards divergence obtain from CVA is presented in Table 8, where the values of vector-1 and 2 transpired that contribution of length of fruit and yield per plant were found prominent to the total divergence. In vector-1, the other important traits responsible for differentiation were fruits per plant while in vector-2, fruit diameter, fruit weight and insect infestation was important. Insect infestation and days to first flowering has highly negative relation with vector-1 and plant height with vector-2. Interesting fruits per plant, fruit diameter, fruit weight and insect infestation have negative relation with one vector but positive relation with opposite vector. So during selection program these characters should be under consider for breeding program. 4. Conclusion Based on the results of this experiment, it may be concluded that breeding program should be undertaken by picking as parental genotypes from diverse distant clusters along with considering the cluster mean values of different traits for find the desirable characters which have active relative contribution to the total divergence aimed at developing anticipated varieties by selection of superior genotypes through the successive positive principal coordinate and canonical variants involvement generations. References 1. Mahbub MM, Rahman MM, Hossain MS, Mahmud F, and Kabir MMM. Genetic variability, correlation and path analysis for yield and yield components in soybean. American-Eurasian Journal of Agricultural & Environmental Sciences. 2015, 15(2): Shirazy BJ, Islam MM, Haque MA, Mahbub MM and Somee TA. Influence of Combined Effect of Nitrogen and Micronutrients on Yield and Yield Contributing Characters of Sesame (Sesamum indicum L.). Botany Research International. 2015, 8(4): Hossain MM, Mahbub MM, and Shirazy BJ. Growth and Yield Performance of Mungbean Varieties in Summer Cultivation. Scientia Agriculturae. 2016, 16(3): Shirazy BJ, Rashid MH, Mahbub MM, Somee TA and Goswami PC. Farmers' Participatory Demonstration of Salt Tolerant T. Aman Rice Varieties in Saline Soils. Academic Journal of Plant Sciences. 2016, 9(1): Mahbub MM, Rahman MM, Hossain MS, Nahar L, and Shirazy BJ. Morphophysiological Variation in Soybean (Glycine max (L.) Merrill). American-Eurasian Journal of Agricultural & Environmental Sciences. 2016, 16(2):

9 Nishi NSB et al. American Journal of Plant Biology 2017, 3:22-30 Page 9 of 9 6. Khan MRA, Mahbub MM, Reza MA, Shirazy BJ, Mahmud F. Selection of Field Pea (Pisum sativum L.) Genotypes through Multivariate Ana7,8]lysis. Scientia Agriculturae. 2016, 16(3): Mili KN, Shirazy BJ, and Mahbub MM. Screening of Soybean (Glycine max L.) Genotypes through Multivariate Analysis. Azarian Journal of Agriculture. 2017, 4(1): Mahbub MM, and Shirazy BJ. Evaluation of Genetic Diversity in Different Genotypes of Soybean (Glycine max (L.) Merrill). American Journal of Plant Biology. 2016, 1(1): Khan MRA, Mahmud F, Reza MA, Mahbub MM, Shirazy BJ, Rahman MM. Genetic Diversity, Correlation and Path Analysis for Yield and Yield Components of Pea (Pisum sativum L.). World Journal of Agricultural Sciences. 2017, 13(1):11-16